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Take the Leap: How to Move from One Business to the Technology Sector

Changing tack midstream can be a difficult maneuver, but it can also be incredibly rewarding. The technology field is growing exponentially, and you may wish to jump into that industry to see what sorts of good work you can do. If this is the case, there’s no need to be nervous – you already have a strong grasp of your current career, and you can bring that knowledge with you to the land of technology. Here are a few tips for successfully making the transition to a new technology career.

You’ve Got Skills: Keep Working and Improving Them

Certain soft skills can be worked on regardless of the industry you are in, and you should always work on and develop your soft skills to keep yourself motivated and progressive. These skills, including resilience, self-motivation, and proactivity, will be helpful in any tech-related field that you transition into. Indeed, they will be helpful in any industry you decide to move into, so always keep them in mind as you grow your repertoire and improve yourself; your new employers will greatly value you and the soft skills you bring to the table.

Have Great Teachers: Use and Strengthen Your Connections

As a member of certain professional circles, you’ve already got an extensive list of contacts and connections. Now is the time to reach out to them, as you will want experienced people showing you how to break into the technology industry. At least a few of your contacts will be connected to the technology sector somehow, so seek them out and learn as much as you can from them. Be forthcoming about your desire to move to the tech industry, and the right people will guide you along the best pathways to make your new career a reality.

Train Yourself: Figure Out Your Knowledge Gaps and Fill Them

Starting out, you won’t be nearly as well-trained or well-educated as colleagues who have spent years and years learning and working on technology. This means that you must fill your knowledge gaps as best as you can, on your own time. This is a great way to demonstrate your motivation and willpower to your prospective employers, and it will give you a leg up on many applicants who expected their previous experiences to speak for them. While experience is great, not all experience translates to the technology industry; figure out what does, then work on it.

Track Your Trajectory: Craft a Personal Career Narrative

There are reasons for you to jump into the technology industry, and they are a vital part of your career path. Reflect on your reasons for making this transition, then tie them into your personal story. Employers looking to hire you will want to know your reasons for switching careers, and having your story ready, complete with your motivations and the hard work you’ve done to make the change, will impress them and help them understand you.

Switching careers isn’t easy, but you’re not in this for the easy path. Learn all you can about technology and start your new career. When you’re an expert, remember the sheer drive and determination that got you there.

Visit www.PROPRIUS.com for more information on how to improve your team and career. PROPRIUS is an Artificial Intelligence Industry recruiting firm dedicated to projecting organizations to the next level.

If you are ready to accelerate your team, then schedule a 10-minute discovery call at https://PROPRIUS.as.me/Discovery. We have a dedicated search process designed to locate, connect with, and deliver the most talented candidates.

If you are looking to propel your career, then schedule a 30-minute intake call at https://PROPRIUS.as.me/Intake. We identify the top Engineers in the Artificial Intelligence Industry that generate results, create opportunity and inspire others to perform their best work.

From the Ground Up: Developing Your Artificial Intelligence Career

Thanks to big data and machine learning, more sophisticated artificial intelligence systems are around the corner. This means that it is a great time to master your technical skills and learn as much as you can about these emerging fields; jumping into the artificial intelligence career pool now could yield great results. Here are a few tips to help you prepare for your first steps toward a career in artificial intelligence.

Have a Basis First: Work on Your Foundation Skills

No matter how advanced you think you are when it comes to artificial intelligence, reviewing the basics will still do you a world of good. Before you dedicate yourself to a specialization like computer vision or natural language processing, master the basics and check to see if you’re having a good time. If you’re only pushing yourself forward because you hear artificial intelligence will be a lucrative career path, you may want to rethink your motivations. If you are genuinely enjoying yourself and you want to learn more, then brush off your computer and keep going; artificial intelligence may be the perfect fit for you.

Have the Right Phrases for Coding: Learn a Programming Language

One of the most prevalent concepts pushing artificial intelligence forward today is machine learning, and many machine learning models begin with a foundation written in a programming language. Python and R are the two most popular programming languages in the field of machine learning today, so it would be highly beneficial to learn both, but if you have to pick just one, go with Python. It is relatively fast compared to R, it is easier to learn, and it has a built-in community within the StackOverflow forums. There you can find support and even answers for many of your computer programming questions, so think of these resources as you delve into learning a programming language or two.

Crunching and Analyzing Big Data Numbers: Fundamentals of Math

Naturally, in the realm of data processing and data analysis, having a firm grasp of numbers is helpful. As you venture deeper into the realms of machine learning on your way to artificial intelligence, brushing up on your math skills is a great idea. While an ongoing study of and interest in math is the best possible option when it comes to a career in artificial intelligence, the three core math schools are linear algebra, probability and statistics, and calculus. If you only want to study the bare minimum, study those three subjects at length and really master them. They will take you a long way on your path to working in artificial intelligence.

Doing Work and Picking the Best Tools: Operating Systems

Nowadays, much of the research for artificial intelligence is done using Linux systems, but this isn’t the only option available to you. Windows and Mac generally support the tools and programs you’ll need to succeed, so feel free to experiment and see which tool set works best for you.

Artificial intelligence is a subject that requires technical specializations, but before you go down that road, brush up on the aforementioned subjects to build a strong learning base for yourself. It will give you great support as you move forward in your artificial intelligence career.

Visit www.PROPRIUS.com for more information on how to improve your team and career. PROPRIUS is an Artificial Intelligence Industry recruiting firm dedicated to projecting organizations to the next level.

If you are ready to accelerate your team, then schedule a 10-minute discovery call at https://PROPRIUS.as.me/Discovery. We have a dedicated search process designed to locate, connect with, and deliver the most talented candidates.

If you are looking to propel your career, then schedule a 30-minute intake call at https://PROPRIUS.as.me/Intake. We identify the top Engineers in the Artificial Intelligence Industry that generate results, create opportunity and inspire others to perform their best work.

In the field of technology, it is important to be good at your job, but it is more important to inspire greatness in others. To become a great leader in the field of information technology, you can follow this advice and lead your team to greatness.

Matching Words to Deeds: Do What You Say You’ll Do

Nobody likes an egomaniac, especially when that person’s actions don’t back up their claims. Instead, be the opposite: humble about most things, and when you say you’ll do something, do it well. When your deeds back up your words, you gain credibility and you show your team that you are capable of delivering positive results. These are reassuring developments for an AI leader.

Do Good Work: Know Yourself and Your Capabilities

The best leaders know what they can do and what they need to work on, so practice self-reflection to improve your self-awareness. When you know your limitations, you can stop yourself from pushing yourself too hard and work on something else instead. Find your flaws and work on them, and never stop improving the skills you’re good at; your team will recognize your self-confidence and follow suit.

Strive for More: Keep Learning and Growing

A good leader should not accept that the leadership position is the end of the road. There is always room in your brain for more knowledge, so continue learning new things and pushing yourself to master new skills. When your team sees you working hard to learn something new, they will appreciate your efforts and, ideally, they will strive to do the same for themselves.

Fill the Gaps in Your Skill Set: Delegate Effectively

Even at your peak performance, there is no way you’ll be able to do everything by yourself. On top of exhaustion, there is the reality that you are not good at everything. This is when proper delegation is a must; great AI leaders know which members of their team complement their weaknesses and which members of their team will excel at certain tasks, so learn to delegate effectively and watch your team work even better.

Use Your Best Resources: Be Yourself

When you are confident, you are more inspiring to your co-workers. Instead of playing to your audience, be confident in yourself and strive for authenticity. Revealing your true self at work will show your team that you are self-assured and independent, and they will value your honesty as endearing.

Encourage Learning: Make it Okay to Fail

Instead of punishing failure, use failure as a learning opportunity. When you or a team member makes a mistake, glean something instructive from the mistake and move forward; there is nothing more inspiring than learning when something goes wrong.

Bring Everyone Together: Communicate Well

Being a great leader requires the ability to get the most out of many different people. To this end, work on your communication skills; being able to talk to many different people with different personalities will get you far and will thereby increase your productivity.

Above all else, a great AI leader is well-rounded and adaptable. Work on any or all of these qualities and watch your team work on themselves as well.

Visit www.PROPRIUS.com for more information on how to improve your team and career. PROPRIUS is an Artificial Intelligence Industry recruiting firm dedicated to projecting organizations to the next level.

If you are ready to accelerate your team, then schedule a 10-minute discovery call at https://PROPRIUS.as.me/Discovery. We have a dedicated search process designed to locate, connect with, and deliver the most talented candidates.

If you are looking to propel your career, then schedule a 30-minute intake call at https://PROPRIUS.as.me/Intake. We identify the top Engineers in the Artificial Intelligence Industry that generate results, create opportunity and inspire others to perform their best work.